Tujuan penelitian ini adalah untuk mendapatkan informasi tentang Visual Literacy Media Pembelajaran Buku Cerita Anak Usia 5-6 tahun. Metode yang digunakan dalam penelitian ini adalah survei dan wawancara, buku cerita sebagai sumber penelitian diambil secara acak dari lokasi penelitian dengan jumlah 100 buku dari 828 buku cerita yang tersedia di pusat sumber belajar (PSB) TK Islam Al Azhar Serang. Hasil yang diperoleh dari penelitian ini adalah kualitas gambar visual disajikan dengan sangat baik, kesesuaian visual literasi dengan tujuan pembelajaran, kesesuaian dengan materi, daya tahan buku, kecepatan presentasi materi, disajikan dengan baik dan indikator lainnya menunjukkan hasil yang cukup, yaitu kosakata mudah dipahami anak, penggunaan bahasa yang singkat, padat dan jelas, urutan dan runtut materi, kesesuaian penyajian visual dengan kebutuhan berbagai karakter siswa, prosedur penggunaan, penyajian pedoman untuk guru. Dengan kata lain, pada umumnya visualisasi gambar yang disajikan dalam buku cerita di Pusat Sumber Belajar (PSB) TK Islam Al Azhar 10 Serang telah menunjukkan hasil yang cukup dengan frekuensi kemunculan rata-rata hampir setengahnya.Kata kunci: visual literasi, buku cerita VISUAL LITERACY INSTRUCTIONAL MEDIA OF CHILDREN’S STORY BOOKSAbstractThis study aim to obtain information about the visual literacy of children’s story books of 5-6 years old Children. The method used in this research are survey and interview, story book as sample taken 100 books randomly from 828 story books in learning resource center (PSB) TK Islam Al Azhar Serang. The results of this study are the quality of visual literacy is presented very well, the visual literacy suitability with the aim of learning, material conformity, book endurance, the speed of material presentation are presented well and other indicators show sufficient results, the vocabulary is easy to understand, performed clear sentences, sequence and material coherence, the appropriateness of visual representation with the needs of various student characters, provide procedures and guidelines for teacher. In other words, the conclusion is the visual literacy of the images presented in the storybooks at the Learning Resource Center (PSB) of Al Azhar Islamic Kindegarten School 10 Serang has shown sufficient results with an average occurrence frequency of nearly half.Keywords: visual literacy, story books

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In the real world, many applications require enhanced variants of well-known distributions. The new distributions are generally more adaptable for simulating real-world data with high skewness and kurtosis. Choosing the best statistical distribution for modeling data is very important and demanding. In this paper, we provide a new fl exible model for modeling lifetime data that is achieved by adding a component to baseline distributions. The new model has three parameters, known as the exponential T-X Gompertz distribution. Its probability density function could be skewed and unimodal. Reliability, hazard rate, quantile, and the moment generating function are just a few of the distributional properties that can be inferred from the suggested model. To estimate the unknown parameters, maximum likelihood estimation is utilized. In addition, Monte Carlo simulation experiments are performed to evaluate the performance of the maximum likelihood estimators. Finally, two real-world data sets are shown to evaluate the proposed model’s potential with that of various existing models.

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<abstract><p>Traditionally, regression problems are examined using univariate characteristics, including the scale function, marginal density, regression error, and regression function. When the correlation between the response and the predictor is reasonably straightforward, these qualities are helpful and instructive. Given the predictor, the response's conditional density provides more specific information regarding the relationship. This study aims to examine a nonparametric estimator of a scalar response variable's function of a density and mode, given a functional variable when the data are spatially dependent. The estimator is then derived and established by combining the local linear and the $ k $ nearest neighbors methods. Next, the suggested estimator's uniform consistency in the number of neighbors (UNN) is proved. Finally, to demonstrate the efficacy and superiority of the acquired results, we applied our new estimator to simulated and real data and compared it to the existing competing estimator.</p></abstract>

Analyzing the co-variability between the Hilbert regressor and the scalar output variable is crucial in functional statistics. In this contribution, the kernel smoothing of the Relative Error Regression (RE-regression) is used to resolve this problem. Precisely, we use the relative square error to establish an estimator of the Hilbertian regression. As asymptotic results, the Hilbertian observations are assumed to be quasi-associated, and we demonstrate the almost complete consistency of the constructed estimator. The feasibility of this Hilbertian model as a predictor in functional time series data is discussed. Moreover, we give some practical ideas for selecting the smoothing parameter based on the bootstrap procedure. Finally, an empirical investigation is performed to examine the behavior of the RE-regression estimation and its superiority in practice.